Sentence examples for predictions for data from inspiring English sources

Using the constructed predictive models from selected classifiers, we are able to make predictions for data points with previously unknown relation to host-microbe interactions.

DCT/IDCT is applied to the residual signal from intra or inter prediction for data compaction in the DCT domain.

The Bartlett processor (linear MFP) is typically the cross-correlation between data and model predictions for that data resulting in a scalar output indicating the agreement between data and model.

For instance, when Silver explicitly applies these formulas out in the real world to polling data, he finds that he arrives at more consistent explanations (and, by extension, predictions for future data) if he adjust polling data based on the Democratic or Republican bias that has been observed for a given polling source.

However, there are no guarantees that predictions for new data will be valid if those data are not within the original domain of values.

Complex methods with large numbers of parameters often fit the data used to develop the model well, but provide inaccurate predictions for independent data.

After annotating a small subset of the data, the system adapts to the annotations and provides consistent predictions for unannotated data.

The results shown in Figure 4 indicate that the model has been over-fitted to the data used for parameter estimation (Figure 4A 4B), but it has bad predictions for the data that are not used for parameter estimation.

The root mean square errors in mobilities predictions for the data set was 0.1083 mobility unit (10−4 cm2 V−10−410−4

No tuned or default model provides the best predictions for all data records or at all experiments.

Therefore, according to the (q_{ext}^{2}) and AD coverage, the RF models would give the best predictions for this data set.